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Nonlinear Statistical Modeling


Nonlinear Statistical Modeling
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Nonlinear Statistical Models


Nonlinear Statistical Models
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Author : A. Ronald Gallant
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25

Nonlinear Statistical Models written by A. Ronald Gallant and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.


A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three major categories of statistical models that relate dependent variables to explanatory variables are covered: univariate regression models, multivariate regression models, and simultaneous equations models. Methods are illustrated with worked examples, complete with figures that display code and output.



Nonlinear Statistical Models


Nonlinear Statistical Models
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Author : Andrej Pazman
language : en
Publisher:
Release Date : 2014-01-15

Nonlinear Statistical Models written by Andrej Pazman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.




Nonlinear Statistical Models


Nonlinear Statistical Models
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Author : Andrej Pázman
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Nonlinear Statistical Models written by Andrej Pázman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Mathematics categories.


Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and parameter effect curvature, algorithms for calculating the L2-estimator and both local and global approximation. In addition to this a chapter has been added on the large topic of nonlinear exponential families. The volume will be of interest to both experts in the field of nonlinear statistical modelling and to those working in the identification of models and optimization, as well as to statisticians in general.



Nonlinear Statistical Modeling


Nonlinear Statistical Modeling
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Author : Takeshi Amemiya
language : en
Publisher: Cambridge University Press
Release Date : 2001-01-08

Nonlinear Statistical Modeling written by Takeshi Amemiya and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-08 with Business & Economics categories.


This collection investigates parametric, semiparametric, nonparametric, and nonlinear estimation techniques in statistical modeling.



Introduction To Multivariate Analysis


Introduction To Multivariate Analysis
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Author : Sadanori Konishi
language : en
Publisher: CRC Press
Release Date : 2014-06-06

Introduction To Multivariate Analysis written by Sadanori Konishi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-06 with Mathematics categories.


Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification and discrimination, dimension reduction, and clustering. The text thoroughly explains the concepts and derivations of the AIC, BIC, and related criteria and includes a wide range of practical examples of model selection and evaluation criteria. To estimate and evaluate models with a large number of predictor variables, the author presents regularization methods, including the L1 norm regularization that gives simultaneous model estimation and variable selection. For advanced undergraduate and graduate students in statistical science, this text provides a systematic description of both traditional and newer techniques in multivariate analysis and machine learning. It also introduces linear and nonlinear statistical modeling for researchers and practitioners in industrial and systems engineering, information science, life science, and other areas.



Nonlinear Models For Repeated Measurement Data


Nonlinear Models For Repeated Measurement Data
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Author : Marie Davidian
language : en
Publisher: Routledge
Release Date : 2017-11-01

Nonlinear Models For Repeated Measurement Data written by Marie Davidian and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-01 with Mathematics categories.


Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.



Nonlinear Regression With R


Nonlinear Regression With R
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Author : Christian Ritz
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-11

Nonlinear Regression With R written by Christian Ritz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-11 with Mathematics categories.


- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.



Nonlinear Models For Repeated Measurement Data


Nonlinear Models For Repeated Measurement Data
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Author : Marie Davidian
language : en
Publisher: Routledge
Release Date : 2017-11-01

Nonlinear Models For Repeated Measurement Data written by Marie Davidian and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-01 with Mathematics categories.


Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.



Handbook Of Nonlinear Regression Models


Handbook Of Nonlinear Regression Models
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Author : David A. Ratkowsky
language : en
Publisher:
Release Date : 1990

Handbook Of Nonlinear Regression Models written by David A. Ratkowsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Mathematics categories.


The background; An introduction to regression modeling; Nonlinear regression modeling; An illustrative example of regression modeling; The models; Models with one X variable, convex/concave curves; Models with one X variable, sigmoidally shaped curves; Models with one X variable, curves with maxima and minima; Models with more than one explanatory viariable; Other models and excluded models; Obtaining good initial parameter estimates; Summary; References; Table of symbols; Appendix; Author index; Subject index.



Nonlinear Statistical Models


Nonlinear Statistical Models
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Author : A. Ronald Gallant
language : en
Publisher: John Wiley & Sons
Release Date : 1987-02-04

Nonlinear Statistical Models written by A. Ronald Gallant and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-02-04 with Mathematics categories.


Univariate nonlinear regression; Univariate nonlinear regression: special situations; A unified asymptotic theory of nonlinear models with regression structure; Univariate nonlinear regression: asymptotic theory; Multivariate nonlinear regression; Nonlinear simultaneus equations models; A unified asymptotic theory for dynamic nonlinear models.